Metadata Report for BODC Series Reference Number 1097634
Metadata Summary
Problem Reports
Data Access Policy
Narrative Documents
Project Information
Data Activity or Cruise Information
Fixed Station Information
BODC Quality Flags
SeaDataNet Quality Flags
Metadata Summary
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Problem Reports
No Problem Report Found in the Database
Data Access Policy
Public domain data
These data have no specific confidentiality restrictions for users. However, users must acknowledge data sources as it is not ethical to publish data without proper attribution. Any publication or other output resulting from usage of the data should include an acknowledgment.
The recommended acknowledgment is
"This study uses data from the data source/organisation/programme, provided by the British Oceanographic Data Centre and funded by the funding body."
Narrative Documents
Kipp and Zonen Pyranometer Model CM6B
The CM6B pyranometer is intended for routine global solar radiation measurement research on a level surface. The CM6B features a sixty-four thermocouple junction (series connected) sensing element. The sensing element is coated with a highly stable carbon based non-organic coating, which delivers excellent spectral absorption and long term stability characteristics. The sensing element is housed under two concentric fitting Schott K5 glass domes.
Specifications
Dimensions (W x H) | 150.0 mm x 91.5 mm |
---|---|
Weight | 850 grams |
Operating Temperature | -40°C to +80°C |
Spectral Range | 305 - 2800 nm (50% points) |
Sensitivity | 9 -15 µV/W/m2 |
Impedance (nominal) | 70 - 100 ohm |
Response Time (95%) | 30 sec |
Non-linearity | < ± 1.2% (<1000 W/m2) |
Temperature dependence of sensitivity | < ± 2% (-10 to +40°C) |
Zero-offset due to temperature changes | < ± 4 W/m2 at 5 K/h temperature change |
Skye Instruments PAR Energy Sensor Model SKE 510
The SKE 510 is suitable for measuring photosynthetically active radiation (PAR) from natural or artificial light sources. The sensor is fully waterproof and guaranteed submersible to 4m depth, and indoor versions are also available.
The instrument uses a blue-enhanced planar diffused silicon detector to measure energy (in W m-2) over the 400-700 nm waveband. It has a cosine-corrected head and a square spectral response. The sensor can operate over a temperature range of -35 to 70 °C and a humidity range of 0-100% RH.
Specifications
Sensitivity (current) | 1.5µA or 100 W m-2 |
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Sensitivity (voltage) | 1mV or 100 W m-2 |
Working Range | 0-5000 W m-2 |
Linearity error | 0.2% |
Absolute calibration error | typ. less than 3% 5% max |
Response time - voltage output | 10 ns |
Cosine error | 3% |
Azimuth error | less than 1% |
Temperature co-efficient | ±0.1% per °C |
Internal resistance - voltage output | c. 300 ohms |
Longterm stability | ±2% |
Material | Dupont 'Delrin' |
Dimensions | 34 mm diameter 38mm height |
Cable | 2 core screened 7 - 2 - 2C |
Sensor Passband | 400 - 700 nm |
Detector | Silicon photocell |
Filters | Glass type and/or metal interference |
Vaisala Analog Barometers Models PTB100 (A), (B) and PTB101 (B), (C)
The PTB 100 series analog barometers are designed both for accurate barometric measurements at room temperature and for general environmental pressure monitoring over a wide temperature range. The long-term stability of the barometer minimizes the need for field adjustment in many applications.
Physical Specifications
Size | 97 x 60 x 22 mm |
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Weight | 85g |
The barometers use the BAROCAP* silicon capacitive absolute pressure sensor developed by Vaisala for barometric pressure measurements. The BAROCAP* sensor combines the elasticity characteristics and mechanical stability of a single-crystal silicon with the proven capacitive detection principle.
Sensor Specifications
Model Number | Pressure Range (mbar) | Temperature Range (°C) | Humidity Range | Total Accuracy | |
---|---|---|---|---|---|
PTB100A | 800 to 1060 | -40 to +60 | non-condensing | +20 °C | ± 0.3 mbar |
0 to +40 °C | ± 1.0 mbar | ||||
-20 to +45 °C | ± 1.5 mbar | ||||
-40 to +60 °C | ± 2.5 mbar | ||||
PTB100B | 600 to 1060 | -40 to +60 | non-condensing | +20 °C | ± 0.5 mbar |
0 to +40 °C | ± 1.5 mbar | ||||
-20 to +45 °C | ± 2.0 mbar | ||||
-40 to +60 °C | ± 3.0 mbar | ||||
PTB101B | 600 to 1060 | -40 to +60 | non-condensing | +20 °C | ± 0.5 mbar |
0 to +40 °C | ± 1.5 mbar | ||||
-20 to +45 °C | ± 2.0 mbar | ||||
-40 to +60 °C | ± 3.0 mbar | ||||
PTB101C | 900 to 1100 | -40 to +60 | non-condensing | +20 °C | ± 0.3 mbar |
0 to +40 °C | ± 1.0 mbar | ||||
-20 to +45 °C | ± 1.5 mbar | ||||
-40 to +60 °C | ± 2.5 mbar |
* BAROCAP is a registered trademark of Vaisala
Vaisala Temperature and Relative Humidity HMP Sensors
A family of sensors and instruments (sensors plus integral displays or loggers) for the measurement of air temperature and relative humidity. All are based on a probe containing a patent (HUMICAP) capacitive thin polymer film capacitanece humidity sensor and a Pt100 platinum resistance thermometer. The probes are available with a wide range of packaging, cabling and interface options all of which have designations of the form HMPnn or HMPnnn such as HMP45 and HMP230. Vaisala sensors are incorporated into weather stations and marketed by Campbell Scientific.
All versions operate at up to 100% humidity. Operating temperature ranges vary between models, allowing users to select the version best suited to their requirements.
Further details can be found in the manufacturer's specification sheets for the HMP 45 series, HMP 70 series and HMP 230 series.
Vaisala WA15 Wind Set
The WAA151 combines a WAA151 anemometer and a WAV151 wind vane, to measure wind speed and direction.
WAA151 Anemometer
The anemometer has three lightweight conical cups in the cup wheel. A wind-rotated chopper disc, attached to the cup wheel's shaft, cuts an infrared light beam 14 times per revolution, generating a pulse output from a phototransistor. The output rate can be regarded as directly proportional to the wind speed. However, for the best accuracy, a transfer function is used to compensate starting inertia and slight over-speeding:
Uf = 0.328 + 0.101 x R, where Uf = wind speed and R = output pulse rate
A thermostatically controlled heating element in the shaft tunnel prevents the bearings from freezing in cold environments.
WAV151 Wind Vane
The WAV151 is a counter-balanced optelectronic wind vane. Infrared LEDs and phototransistors are mounted in six orbits around a 6 bit Gray coded disc. Turned by the vane, the disc determines the code received by the phototransistors.
Specifications
WAA151 Anemometer | WAV151 Wind Vane | |
---|---|---|
Measurement range | 0.4-75 m s-1 | 0-300° (at 0.4-75 m s-1) |
Starting threshold | < 0.5 m s-1 | < 0.4 m s-1 |
Resolution | - | ±2.8° |
Accuracy | ±0.17 m s-1 (within range 0.4-60 m s-1) | < ± 3° |
Output | 0-750 Hz square wave | 6 bit parallel Gray code |
Operating temperature | -50°C to 55°C | -50°C to 55°C |
Further details can be found in the manufacturer's specification document.
UK SOLAS Discovery Cruise D317 Underway Meteorology and Surface Hydrography Document
Underway data for D317 were provided to BODC by NMF-SS personnel.
Instrumentation
Navigation and bathymetry
Instrument | Type | Code | Main role |
---|---|---|---|
Trimble Navigator 4000 | GPS | GPS_4000 | Navigation |
Ashtec G12 | GPS | GPS_G12 | Navigation (1st choice for Bestnav) |
Ashtec Attitude Detection Unit 2 | GPS | GPS_ASH | Navigation |
Gyrocompass | Gyrocompass | GYRONMEA | Relative motion |
Chernikeef Log | EM Log | LOG_CHF | Relative motion |
Meteorology
Sensor | Serial Number | Last calibration date |
---|---|---|
Vaisala Barometer PTB100A | U1850012 or S3610008 | - |
Vaisala Temperature/Humidity HMP44L | A2150009 | - |
Skye PAR (port) | 28558 | 21/12/2004 |
Skye PAR (starboard) | 28557 | 21/12/2004 |
Kipp & Zonen TIR CMB6 (port) | 47463 | 22/12/2004 |
Kipp & Zonen TIR CMB6 (starboard) | 47462 | 22/12/2004 |
Vaisala Anemometer WAA151 | P50421 | - |
Vaisala Wind Vane WAV151 | S21208 | - |
Surface hydrography
Sensor | Serial number | Last calibration date |
---|---|---|
FSI OTM Housing temperature | - | - |
FSI OTM Remote temperature | - | - |
FSI OCM Conductivity | - | - |
Wetlabs Fluorometer | - | - |
Seatech Transmissometer | CST-112R | 31/05/1996 |
Originator's Data Processing
Raw data were logged to NetCDF format through the ship's Techsas system. Data were converted to RVS binary format on a daily basis, for manual data processing, including merging the navigation streams, deriving absolute winds and salinity, and correcting bathymetric depth data. Data were supplied to BODC in Techsas NetCDF, RVS binary, and also RVS listit ASCII formats.
Navigation and bathymetry
Three GPS systems were used on the ship. These are treated hierarchically, with two used as backups to the first. The standard processing software, Bestnav, identifies gaps in the preferred GPS stream, and fills them with data from the second choice stream, and then, if necessary, the third choice.
Meteorology
Meteorological data were collected from sensors mounted at 18.5 m height on the foremast platform. The ship's heading and course over ground were used to correct relative wind data to absolute values.
Surface hydrography
The surface water component consisted of a flow through system with a pumped pickup at 5 m depth. The TSG was set to a flow rate of 25 L/min, and the fluorometer and transmissometer to a flow rate of 3 L/min. The TSG housing temperature and conductivity were used to derive salinity.
BODC Data Processing
All parameters were visually screened, and spikes flagged as suspect. Screening took into account comparisons between different parameters, and the environmental context.
Navigation and bathymetry
Bestnav latitude and longitude had some gaps, even where the raw GPS channels were continuous. These included two major data losses, attributed to failures of the Techsas system 00:00-09:44 02/04/2007 and 00:00-15:57 07/04/2007. BODC filled these gaps with concurrent data from the Fugro G12 GPS. The position data were used to generate ship speeds, which were in turn screened for improbable values in order to identify small spikes in latitude and longitude. Any remaining small gaps were filled by interpolation.
Bathymetric data from the echo sounder were screened in comparison with GEBCO bathymetry.
Meteorology
BODC applied manufacturers' calibrations to the pyranometers and PAR sensors. Port and starboard PAR were merged, taking the maximum measured value from the pair for each cycle, to eliminate the ship's shading effect. Port and starboard TIR were merged in the same way.
Wind data were screened with reference to the ship's heading, to account for the sheltering effect of the ship. Air temperature data were also screened with reference to heading, to identify instances of stack pollution.
Sea surface hydrography
TSG salinity was calibrated against independent bottle sample salinity data. A calibration data set of 16 data pairs was analysed. There was no significant trend in instrument response with time, and there was a simple, very small offset between bottle salinity and TSG salinity. BODC has therefore applied a mean offset calibration to the TSG salinity:
PSALSG01 = PSALSU01 - 7.5 x 10-5 (BODC calibration 6289)
No independent measurements were made with which to calibrate the in situ fluorometer. This parameter has been left as the raw instrument output voltage.
Quality control report
Navigation and bathymetry
Bathymetry data from the echosounder were very sparse.
Meteorology
No data quality issues to report.
Sea surface hydrography
No data quality issues to report.
Project Information
Surface Ocean Lower Atmosphere Study
The Surface Ocean-Lower Atmosphere Study (SOLAS) is an international research initiative comprising over 1500 scientists in 23 countries. Its central goal is to understand the biogeochemical-physical interactions between the ocean and atmosphere, and how their coupling affects, and is affected by climate change.
UK SOLAS, Field Observations of Sea Spray, Gas Fluxes and Whitecaps (SEASAW)
This project was led by the University of Leeds, in association with the National Oceanography Centre, Southampton, and the University of the Highlands and Islands.
Sea spray aerosol particles, generated primarily by the action of the wind on the ocean surface, make a major contribution to the atmospheric aerosol over the global oceans. Their ability to participate in heterogeneous atmospheric chemical processes and especially their activity as cloud condensation nuclei make them very important in global climate processes. Similarly, the air-sea fluxes of trace gases, are influenced by wind speed and whitecap processes. The flux of carbon dioxide between atmosphere and ocean is a controlling factor on the concentration of CO2 in the atmosphere, but there are large uncertainties in the size of the flux as a function of wind speed; and the effects of factors such as wave breaking, surfacants, etc are almost entirely unknown.
SEASAW aimed to measure gas and particle fluxes across the air-sea interface by direct eddy-covariance methods and other techniques in order to determine their dependence on environmental factors.
Fieldwork comprised one dedicated open ocean research cruise: D317, and participation in another UK SOLAS cruise: D313. The observational data include:
- sea state, whitecapping and wave breaking
- bubble properties
- air-sea gas fluxes
- aerosol properties
More detailed information on this project may be found in the official cruise reports for D313 and D317.
Grant reference:
NE/C001869/1
Weblinks:
Funding: UKRI Gateway to Research
UK Surface Ocean Lower Atmosphere Study
The UK Surface Ocean Lower Atmosphere Study (UK SOLAS) is the UK's contribution to the international SOLAS programme.
UK SOLAS formed interdisciplinary teams to address three primary aims
- To determine the mechanisms controlling rates of chemical transfer and improve estimates of chemical exchanges
- To evaluate the impact of these exchanges on the biogeochemistry of the surface ocean and lower atmosphere and on feedbacks between the ocean and atmosphere
- To quantify the impacts of these boundary layer processes on the global climate system
UK SOLAS started in 2003, to run for seven years. The programme was funded by the Natural Environment Research Council.
Funded projects
In total, 19 projects have been funded by UK SOLAS, over four funding rounds.
Project Title | Short Title | Principal Investigator |
---|---|---|
Impact of atmospheric dust derived material and nutrient inputs on near-surface plankton microbiota in the tropical North Atlantic | Dust | Eric Achterberg |
The role and effects of photoprotective compounds in marine plankton | - | Steve Archer |
Field observations of sea spray, gas fluxes and whitecaps | SEASAW | Ian Brooks |
Factors influencing the biogeochemistry of iodine in the marine environment | - | Lucy Carpenter |
Global model of aerosol processes - effects of aerosol in the marine atmospheric boundary layer | GLOMAP | Ken Carslaw |
Ecological controls on fluxes of dimethyl sulphide (DMS) to the atmosphere | - | David Green |
Dust outflow and deposition to the ocean | DODO | Ellie Highwood |
Investigation of near surface production of iodocarbons - rates and exchanges | INSPIRE | Gill Malin |
Reactive halogens in the marine boundary layer | RHaMBLe | Gordon McFiggans |
The role of bacterioneuston in determining trace gas exchange rates | - | Colin Murrell |
Measuring methanol in sea water and investigating its sources and sinks in the marine environment | - | Phil Nightingale |
The impact of coastal upwellings on air-sea exchange of climatically important gases | ICON | Carol Robinson |
The Deep Ocean Gas Exchange Experiment | DOGEE | Rob Upstill-Goddard |
High wind air-sea exchanges | HiWASE | Margaret Yelland |
Aerosol characterisation and modelling in the marine environment | ACMME | James Allan |
3D simulation of dimethyl sulphide (DMS) in the north east Atlantic | - | Icarus Allen |
Processes affecting the chemistry and bioavailability of dust borne iron | - | Michael Krom |
The chemical structure of the lowermost atmosphere | - | Alastair Lewis |
Factors influencing the oxidative chemistry of the marine boundary layer | - | Paul Monks |
UK SOLAS has also supported ten tied studentships, and two CASE studentships.
Fieldwork
UK SOLAS fieldwork has included eight dedicated research cruises in the North Atlantic Ocean. Continuous measurements were made aboard aboard the Norwegian weather ship, Polarfront, until her decommission in 2009. Time series have been established at the SOLAS Cape Verde Observatory, and at the Plymouth Marine Laboratory L4 station. Experiments have taken place at the Bergen mesocosm facility.
A series of collaborative aircraft campaigns have added complementary atmospheric data. These campaigns were funded by UK SOLAS, African Monsoon Multidisciplinary Analyses (AMMA-UK), Dust and Biomass Experiment (DABEX) and the Facility for Airborne Atmospheric Measurements (FAAM).
Weblink: http://www.nerc.ac.uk/research/programmes/solas/
Data Activity or Cruise Information
Cruise
Cruise Name | D317 |
Departure Date | 2007-03-21 |
Arrival Date | 2007-04-12 |
Principal Scientist(s) | Ian Brooks (University of Leeds School of Earth and Environment) |
Ship | RRS Discovery |
Complete Cruise Metadata Report is available here
Fixed Station Information
No Fixed Station Information held for the Series
BODC Quality Control Flags
The following single character qualifying flags may be associated with one or more individual parameters with a data cycle:
Flag | Description |
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Blank | Unqualified |
< | Below detection limit |
> | In excess of quoted value |
A | Taxonomic flag for affinis (aff.) |
B | Beginning of CTD Down/Up Cast |
C | Taxonomic flag for confer (cf.) |
D | Thermometric depth |
E | End of CTD Down/Up Cast |
G | Non-taxonomic biological characteristic uncertainty |
H | Extrapolated value |
I | Taxonomic flag for single species (sp.) |
K | Improbable value - unknown quality control source |
L | Improbable value - originator's quality control |
M | Improbable value - BODC quality control |
N | Null value |
O | Improbable value - user quality control |
P | Trace/calm |
Q | Indeterminate |
R | Replacement value |
S | Estimated value |
T | Interpolated value |
U | Uncalibrated |
W | Control value |
X | Excessive difference |
SeaDataNet Quality Control Flags
The following single character qualifying flags may be associated with one or more individual parameters with a data cycle:
Flag | Description |
---|---|
0 | no quality control |
1 | good value |
2 | probably good value |
3 | probably bad value |
4 | bad value |
5 | changed value |
6 | value below detection |
7 | value in excess |
8 | interpolated value |
9 | missing value |
A | value phenomenon uncertain |
B | nominal value |
Q | value below limit of quantification |